992results about How to "In line with the actual situation" patented technology

The invention discloses a shortest path planning method for dynamic origins, and belongs to the technical field of dynamic path guidance in an intelligent traffic system. The shortest path planning method is used for optimizing vehicle traveling routes. The shortest path planning method always takes a current vehicle position as a starting point and predicts road condition information such as traffic flow of relevant road sections and road intersections, and the like for many times according to vehicle running time to calculate a shortest path according to a path planning algorithm in a no-request mode at regular time, thereby acquiring a shortest time path in accordance with the real-time conditions of a road network better and directly displaying the shortest time path on the screen of a vehicle navigation system; and meanwhile, by the method, the update operation amount is less so as to shorten calculation time.

The invention relates to a large span rail traffic bridge damage recognition method, including the steps:(1) a sensor is arranged on the bridge which will be examined, the dynamic response signal of a large span rail traffic bridge is measured and is driven by that when a rail vehicle crosses the large span bridge, the signal on the sensor is red by a computer; (2) the benchmark bridge numerical model and the rail vehicle numerical model of the bridge are established; (3) a coupled mechanical analysis system comprising the benchmark bridge numerical model and the rail vehicle numerical model is initialized, an explicit integral method is used to solve the system, the simulated dynamic response signal of the benchmark bridge numerical model on a relative position is red according to the installment position of the sensor; (4) the energy spectrums of the dynamic response signal obtained by monitoring and the simulated dynamic response signal obtained by numerical simulation calculation of the bridge are solved by a multi-scale wavelet packet analysis method, and a damage recognition is carried on by recognizing index. The invention increases the precision of the bridge damage recognition, and the normal use of the bridge structure can not be affected.

The invention discloses an adversarial sample generation method for a face recognition system in a physical domain. According to the adversarial sample generation method, a glasses-shaped adversarialdisturbance block which can be reproduced in the physical domain is generated through a generator to mislead the face recognition system; meanwhile, by consideration of the influence of different illumination and printer chromatic aberration, data enhancement is carried out through simulation of illumination changes, and the success rate of attack in the physical domain is improved by utilizing aplurality of loss function combinations. Moreover, different face recognition networks are accessed to an overall training framework, so digital domain adversarial samples for different face recognition methods can be conveniently and quickly generated, and adversarial disturbance can be physically reproduced. With the adversarial sample generation method provided by the invention, attacks on theface recognition system in the physical domain are effectively achieved; meanwhile, the problem that the system lacks enough adversarial samples in the training process is effectively solved; a largenumber of adversarial samples can be rapidly generated to train the network, so the reliability of the network is improved; meanwhile, the adversarial samples can be physically reproduced and have robustness to illumination changes.

The invention relates to a drilling engineering technology in petroleum engineering, in particular to a method for monitoring the track of an actually drilled wellbore. The method comprises the following steps: acquisition of inclination survey data and naturalization treatment; determination of characteristic parameters of a wellbore track model; determination of a hole inclination equation and an azimuth equation; calculation of coordinate increment; calculation of surveying point coordinates; and so on. As for large-displacement wells containing catenary or parabola tracks and various directional wells and horizontal wells, the method can accurately monitor the coordinates of various surveying points, so as to make the monitoring result accord with the practice of the drilling engineering, thereby effectively improving the construction precision and the reliability of catenary drilling and parabola drilling.

The invention provides a real-time issuing method and a real-time issuing system of a safe and economic operation state of a thermal power plant. The method comprises the following steps: building a real-time communication protocol among SIS, MIS, a video monitoring system and 3D-GIS; building a three-dimensional model indicating a production area view of the thermal power plant by utilizing a 3D-GIS technology to ensure that the three-dimensional model corresponds to equipment, heat distribution pipelines, valves and the like in a real production environment; processing data, video pictures, expert knowledge bases and the like pushed by the SIS, 3D-GIS and the video monitoring system by a GIS server and integrating to three-dimensional model corresponding positions; supplying the safe and economic operation state and fault solution strategies of location point equipment or systems. According to the real-time issuing method and the real-time issuing system, the complete coverage of the safe and economic operation state monitoring requirements and fault solution strategies of the unit are achieved, so that the occurrence of major accidents caused by ignorance of data abnormity due to human factors can be greatly reduced, and the safe and economic operation and the management level of the thermal power plant are effectively improved.

The invention discloses an internal moisture distribution forecast method of a proton exchange membrane fuel cell. The internal moisture distribution forecast method is used for building a three-dimensional numerical value model and performing solving calculation and comprises five steps of building and calculating a conservation equation of membrane-state water Lamba distribution situation in a proton exchange membrane and a catalytic layer; building and calculating a conservation equation of water distribution situation in a gas diffusion layer, a micropore layer and the catalytic layer; solving liquid-state water distribution in a runner of the fuel cell; defining mass conservation of two sides of an interface of the runner and the gas diffusion layer; and building an energy conservation equation in an integral calculation domain, and acquiring temperature distribution. Simulation calculation is performed on flowing of a gas phase and a liquid phase in the runner of the proton exchange membrane fuel cell by a two-phase flow model, surface tension and a wall-surface absorption effect are considered, the flowing of a gas phase and a liquid phase in a membrane electrode (the gas diffusion layer, the micropore layer, the catalytic layer and the proton exchange membrane) is combined with the flowing of a gas phase and a liquid phase in the runner of the proton exchange membrane fuel cell by a special method, and a method for forecasting the distribution of the internal whole water in a single proton exchange membrane fuel cell under a given working condition by numerical value calculation is provided.

The invention provides a method for predicting travel time on urban ground level roads, which comprises the following steps of: matching the real-time traffic flow data collected by a road section traffic information collecting device and a signal control device with the arrival and discrete function of traffic stream in a traffic construction, and calculating the traffic flow in a certain time scope by a calculation model; uniformly inputting parameters such as the traffic flow, the saturation level, the road junction signal timing period, the split green ratio and the like in each travel direction of the road junction to calculate the travel time of the road section at the moment. The method can be used to predict the travel time in urban road network so as to select the optimum path with minimum travel time.

The invention belongs to the field of physical experiment equipment of petroleum and natural gas exploitation, and particularly relates to a heterogeneous reservoir water injection commingling interlayer disturbance simulation system. The system comprises a constant-flux pump, a plurality of containers, a five-way valve, a core holding unit, an X-ray tube, a detector and a data processing and imaging system. The constant-flux pump is connected with the inlet of each container through pipelines; the inlet of the five-way valve is respectively connected with the outlet of each container through pipelines. A left sealing cover of the core holding unit is provided with an injection port, the right sealing cover of the core holding unit is provided with an output port, the inner sides of the left sealing cover and the right sealing cover are sequentially provided with a core end cap rubber mat, a core end cap and a sealing rubber mat from outside to inside, a plurality of circular holes are formed in the core end cap rubber mat, and the core end cap and the sealing rubber mat are provided with a plurality of layer chambers. A plurality of layers of heterogeneous reservoir slab models are arranged in a sealing rubber sleeve. The outlet of the five-way valve is connected with the injection port, and fluid passes through the output port and enters a measuring cylinder. The heterogeneous reservoir water injection commingling layer disturbance simulation system can reflect layer disturbance degree through the composition and size of liquid amount at the output end, and visualized analysis is achieved.

The invention provides a network alignment method based on a double-layer graph attention neural network. The network alignment method comprises two stages of network embedding representation and embedding vector space alignment. In a network embedding representation stage, a double-layer graph attention neural network is provided to carry out network representation learning so as to extract an embedding vector of a user in a social network; in an embedded vector space alignment stage, a classification model is constructed by utilizing the obtained social network user node embedding vectors and a part of known anchor link sets to predict anchor links between different social networks, and a bidirectional embedding vector space alignment strategy is proposed to meet one-to-one matching constraints of user entities between different social networks. Through the above setting, the method can effectively capture different influence weights of the user in the social network and between theneighbor users and the features, thereby learning the precise representation of the user in the social network, and improving the prediction accuracy of the anchor link between different social networks.

The invention belongs to the field of maintenance decision-making of hydraulic equipment, and relates to a method for the optimal maintenance decision-making of hydraulic equipment with risk control. The method mainly comprises three steps: 1) judging whether a system is in a status of defect by using a variable-weight association rule algorithm, if so, calculating the probability values of occurrences of latent faults of the system; 2) calculating the comprehensive evaluation value for the consequence of each latent fault by using a BP neural network; and 3) multiplying the probability values obtained in step 1 by the comprehensive evaluation values obtained in step 2 so as to obtain the VaRs (values-at-risk) of the latent faults, judging whether the VaRs are more than a specified threshold, if so, ranking the VaRs in descending order so as to determine the maintenance sequence; otherwise, returning to the step of monitoring. The method can judge whether a device is in a status of defect, judge the type of the latent fault and calculate the probability values of occurrences of latent faults only through a calculation; and compared with traditional risk maintenance methods, the method of the invention improves the accuracy of fault diagnosis, speeds up the diagnosis speed, and provides a better reference for online decision-making.

The invention discloses a method for predicting production effect of a shale reservoir after size modification. The method mainly includes following steps: collecting basic parameters of the reservoir, fluid and a horizontal wellbore; dividing a heterogeneous gas reservoir into at least two vadose zones along the length direction of the horizontal wellbore, wherein each vadose zone contains artificial fractures; building a vadose unit simulation model for each vadose zone; building vadose simulation models of at least two vadose units; coupling the vadose simulation models of the vadose units, and predicting the production effect of a heterogeneous gas reservoir fractured horizontal well in a stable state; discretizing time, and repeating the steps 1-5. By the technical scheme, the defect that only prediction on homogeneous shale reservoirs can be realized without considering starting pressure gradient and stress sensitive effect is overcome, and comprehensive evaluation on the production effect of the shale reservoir after size modification can be realized.

The invention provides an optical axis nonlinear binocular range finding method. The method comprises the following steps: at first, establishing a binocular range finding device, establishing a range finding formula, which is matched with the binocular range finding device, when the optical axes of a left camera and a right camera are non-ideally parallel to each other; and calibrating the parameters of the range finding formula to obtain a rang finding formula that only comprises unknown quantities namely the imaging positions of a scene object to be measured in the left camera and right camera of the binocular range finding device. In actual application, the data of imaging positions of a scene object to be measured in the left camera and right camera of the binocular range finding device can be directly read; and then the data can be substituted into the calibrated range finding formula to calculate the distance between the scene object and a reference camera in the binocular range finding device. The provided method is suitable for the binocular stereoscopic vision device, reduces the distance measurement error caused by unparallel optical axes, and improves the ranging accuracy in actual projects.

The invention relates to a dual-detector segmenting gamma-scanning measuring device based on equivalent radius correction, belonging to the technical field of nuclear radiation measurement. The dual-detector segmenting gamma-scanning measuring device comprises a rotary table, a detector platform assembly, a transmission source platform assembly, a platform lifting and driving assembly, two same high-purity germanium detectors, a transmission source, a shielding part of the transmission source and an analysis module, wherein the two same high-purity germanium detectors are provided with collimators. In the invention, the influence of the nonuniformity of materials inside a wastebin is reduced through the constant rotation of the wastebin, layered measurement is carried out on the wastebin undergoing the constant rotation by placing the two same high-purity germanium detectors on different horizontal positions, the radial equivalent radius of each radionuclide layer is obtained through analysis, and the radionuclide activity of the radionuclide layer is accurately computed according to the detection efficient of the radial equivalent radius. Because an assumption of uniform radionuclide distribution is eliminated, the characteristics of an actual wastebin are better accorded with so that the measurement accuracy of the traditional segmenting gamma-scanning technology is greatly enhanced.

The invention provides an opportunistic routing method capable of efficiently utilizing energy, for a mobile wireless sensor network, which solves the problems of node holes, short network lifetime and the like of the mobile wireless sensor network, so as to prolong the lifetime of the mobile wireless sensor network. According to the method, a candidate forwarding node set is determined, the priority of the candidate forwarding node set is optimized by the comprehensive measurement strategies of energy estimation, load estimation, movement influence factors and the like, and in combination with the mechanisms of geographic positions, energy sensing, load balancing and the like, so as to finish the data package forwarding of the mobile wireless sensor network. The method disclosed by the invention is capable of effectively alleviating the problems of node holes, short network lifetime and the like of the mobile wireless sensor network.

The invention provides an electro-thermal simulation method for FS (Field Stop) type IGBT (Insulated Gate Bipolar Transistor) transient temperature characteristic. An FS type IGBT switching transient working process is actually tested and is analyzed by being combined with an IGBT working principle and a semiconductor physical principle to determine that the IGBT transient temperature characteristic is mainly influenced by life of internal excess carrier, so that the electro-thermal simulation method is established. The method comprises the following steps of: actually testing carrier life values extracted at different temperatures to acquire a relational expression of the carrier life and temperature; calculating through an empirical value formula to acquire a relational expression amongthreshold voltage, transconductance, emitter saturation and current as well as the temperature; and adding temperature related parameters into an FS type IGBT current tailing stage current analyticalexpression and a switching transient model equation set and calculating to acquire transient working waveform of the FS type IGBT at different temperatures. The electro-thermal model simulation method provided by the invention simultaneously has the advantages of simple parameter calculation and high accuracy.

The present invention belongs to the field of computing wind engineering, and discloses a method for achieving WRF and CFD coupled simulation wind field based on OpenFOAM. The method comprises the following steps: 1) establishing a complex terrain CFD model to generate a refined grid; 2) establishing a mesoscale WRF model to simulate complex terrain wind fields and processing wind field data of the WRF model; 3) achieving the data coupling of the WRF model and the complex terrain CFD model on the boundary, and obtaining refined grid wind field data with time varying on the four side interfacesand the top surface of the complex terrain CFD model; 4) calculating the coupled complex terrain CFD model so as to obtain a complex terrain wind field characteristic simulation result. The method for achieving WRF and CFD coupled simulation wind field based on OpenFOAM can adopt the program language supported by the computer, achieve the data coupling on the boundary of the WRF model and the complex terrain CFD model, and facilitate to improve the precision of the complex terrain wind resource assessment and wind field numerical simulation.

The invention discloses a high-accuracy cutter deviation online measuring device which comprises a clamping mechanism fixedly installed on a main shaft head of a machine tool. A laser displacement measurement device is installed on the clamping mechanism, a data acquisition processing device for receiving and processing signals sent by the laser displacement measurement device are connected onto the laser displacement measurement device, and the laser displacement measurement device comprises more than two laser measuring heads. The laser measuring heads are installed on the clamping mechanism, and a laser transmitter and a laser receiver are arranged on each laser measuring head. The cutter deviation in the cutting process is measured by means of the laser displacement measurement device, the signal acquisition frequency is high, and the measurement accuracy is high. The deviation of a cutter in the X-axis direction and Y-axis direction can be measured simultaneously by means of at least two laser measuring heads, a geometric relationship equation is established to perform error compensation, the external disturbing influence is small, and the measurement accuracy is high.

The present invention discloses a node autologous location method in the wireless sensor network, and the process is that each anchor node in the wireless sensor network sends the anchor node coordinate, the node ID number, the correct value, and the jumping-figure information to all nodes of the entire net, and enables the entire net to obtain the autologous information of all anchor nodes; after obtaining the smallest jumping-figure of other anchor nodes, each anchor node performs the calculation of the smallest mean square error correct value, and sends out the smallest mean square error correct value, then enables all ordinary anchor nodes to obtain the smallest mean square error correct value of all anchor nodes ultimately; each ordinary anchor node selects one smallest mean square error correct value c from the all smallest mean square error correct values, and performs the trilateral localization with each anchors node autologous information obtained from the mutual information, and performs the choice of the probability, then takes the trilateral localization coordinate of the biggest probability as the autologous position of the ordinary node. The present invention has the advantages of low energy consumption and high accuracy, thus being available in the autologous localization of the isotropic wireless sensor network node.

The invention discloses an assessment method of operating dynamic risk of electric transmission and transformation equipment. In combination with a fault tree and event tree analysis method, causes and effects of a fault mode are analyzed, a bow-tie model taking the fault mode as a central node is formed, the bow-tie model can be used for analyzing causes, effects and risk of accidents in combination with a fault tree and an event tree, and corresponding risk control measures are determined. According to the operating risk of the electric transmission and transformation equipment, the operating risk can be assessed dynamically. Compared with a fault diagnosis mechanism in the prior art, a dynamic fault diagnosis mechanism has the advantages that judgment of evidence information requirements is added, blindness of a diagnosis process is reduced, the fault condition of the electric transmission and transformation equipment can be judged effectively, and therefore a result, obtained through assessment, of the service life of the electric transmission and transformation equipment is more accurate and conforms to actual conditions better, and the assessment method has better guiding significance in engineering application.

The invention relates to a motor fault diagnosis system and method based on edge calculation and deep learning. Edge side equipment can configure an acquisition device, preprocesses vibration or current signals and then performs empirical mode decomposition (EMD), a built-in deep residual network diagnosis model of the diagnosis module inputs n IMF components to perform fault diagnosis, and a diagnosis result and fault data are uploaded to a cloud service center; and the cloud service center periodically trains the deep residual error network diagnosis model by using historical data and the fault data, issues the trained deep residual error network diagnosis model to each edge side equipment, and updates the deep residual error network diagnosis model in the edge side equipment. The motorequipment can be diagnosed in real time through the calculation of the edge side equipment, the motor state can be timely and quickly diagnosed, and only the processed data is transmitted to the cloudcenter, so that the time delay caused by the data transmission speed and bandwidth limitation is greatly reduced, and the data processing pressure of the cloud center is remarkably relieved.

The invention discloses a system and a method for correction of distance walking error of a photon counting three-dimensional imaging laser radar. Firstly, distance walking errors of a photon counting three-dimensional imaging laser radar are demarcated with multiple points to obtain the distance running errors under different laser pulse response ratios. Then, a manner of the mathematical fit is adopted to obtain the function of the distance walking errors about the laser pulse response ratios, and the function of the distance walking errors is recorded as a distance running error function. Finally, during the working process of the photon counting three-dimensional imaging laser radar, distributions of the laser pulse response ratios of the original three-dimensional distance images are counted, and the function of the distance walking error function is adopted to forecast the distance walking errors and correct the original three-dimensional distance image using compensation so as to obtain the corrected three-dimensional distance images. The photon counting three-dimensional imaging laser radar distance walking error correction system and the method are capable of eliminating the distance walking errors.